Suppr超能文献

中国大学新生网络成瘾与网络相关适应不良认知之间的相互关系:纵向交叉滞后分析

Reciprocal Relationship between Internet Addiction and Network-Related Maladaptive Cognition among Chinese College Freshmen: A Longitudinal Cross-Lagged Analysis.

作者信息

Han Piguo, Wang Peng, Lin Qingnan, Tian Yu, Gao Fengqiang, Chen Yingmin

机构信息

School of Psychology, Shandong Normal UniversityJinan, China.

Department of Preschool Education, Heze UniversityHeze, China.

出版信息

Front Psychol. 2017 Jun 22;8:1047. doi: 10.3389/fpsyg.2017.01047. eCollection 2017.

Abstract

This study explored the reciprocal relationship between Internet addiction (IA) and network-related maladaptive cognition (NMC) in Chinese college freshmen. A short-term longitudinal survey with a sample of 213 college freshmen was conducted in Shandong province, China. The results revealed that IA can significantly predict the generation and development of NMCs, and that when such maladaptive cognitions have been established, they can further adversely affect the extent of the students' IA. A vicious cycle was observed between these two variables, with IA having predictive priority in its relationship with NMC. This study also determined that the relationship between these two variables was the same for both males and females; therefore, the final model we established can be extensively applied to Chinese college freshmen, regardless of gender. Understanding the reciprocal relationship between these two variables can assist in interventions in IA at the outset of students' college life.

摘要

本研究探讨了中国大学新生网络成瘾(IA)与网络相关适应不良认知(NMC)之间的相互关系。在中国山东省对213名大学新生进行了一项短期纵向调查。结果显示,网络成瘾能够显著预测适应不良认知的产生和发展,并且当这种适应不良认知形成后,它们会进一步对学生的网络成瘾程度产生不利影响。在这两个变量之间观察到了一个恶性循环,在与网络相关适应不良认知的关系中,网络成瘾具有预测优先权。本研究还确定,这两个变量之间的关系在男性和女性中是相同的;因此,我们建立的最终模型可以广泛应用于中国大学新生,无论性别如何。了解这两个变量之间的相互关系有助于在学生大学生活开始时对网络成瘾进行干预。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/97fa/5479905/e3d36abd8190/fpsyg-08-01047-g001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验